RNA sequencing

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RNAGenesis: A Foundation Model Advancing RNA Sequence Generation and Structural Insights
ByDeotima Chakraborty January 5, 2025October 22, 2026

Many biological processes depend on RNA engineering, which advances the knowledge of life’s mechanisms and propels the discovery of new drugs. New strategies are made possible by improvements in RNA foundation models, but current techniques are still unable to produce unique sequences with particular functionalities. Here, scientists from Princeton University and BioMap Research present RNAGenesis,…

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Bioinformatics | Drug Discovery | News | Paper Summary | RNA-Seq | Tools | Transcriptomics

DRUG-seq: A Game-Changing Approach to Transcriptional Profiling in Drug Discovery
ByDr. Tamanna Anwar December 8, 2024October 22, 2026

The identification and comprehension of the mechanisms of potential drug compounds is a complex and expensive endeavor in the constantly changing pharmaceutical research landscape. Traditional high-throughput screening methods have been constrained by their costly techniques and narrow readouts for an extended period. The DRUG-seq approach is a revolutionary method that could change the way scientists…

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Bioinformatics | Data Analysis | Gene Expression | News | Paper Summary | RNA-Seq | Tools | Transcriptomics | Trending

MultiRNAflow: A Comprehensive Tool for Temporal RNA-seq Data Analysis in Multiple Biological Conditions
ByDeotima Chakraborty June 7, 2024October 22, 2026

RNA sequencing is currently a useful tool for studying the dynamic transcriptional mechanisms that control the operation of eukaryotic cells. Nevertheless, complicated experimental designs with various biological variables and multiple analysis time points cannot be automatically analyzed by the tools that are currently on the market for the analysis of raw sequencing data. Multiple programs…

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Bioinformatics | Cancer | News | NGS | Paper Summary | RNA-Seq | Tools | Transcriptomics | Trending

Unlocking Cellular Secrets: SCORPION’s Breakthrough in Population-level Comparisons of Gene Regulatory Networks
ByAnchal Negi March 10, 2024October 22, 2026

Gaining insight into the intricate workings of genes within cells is essential to comprehending biological processes and illnesses. Bulk RNA sequencing, which hides diversity within cell populations and analyzes average gene expression across numerous cells, has historically been the focus of study. On the other hand, single-cell RNA sequencing, or scrRNA-seq, has become a powerful…

Read More Unlocking Cellular Secrets: SCORPION’s Breakthrough in Population-level Comparisons of Gene Regulatory Networks
Bioinformatics | News | Paper Summary | RNA-Seq | Tools | Transcriptomics | Trending

Unlocking Cellular Mysteries with scPerturb: A Deep Dive into Harmonized Single-cell Perturbation Data
ByDeotima Chakraborty February 1, 2024October 22, 2026

Molecular and phenotypic responses to numerous perturbations are revealed by the increasing number of single-cell perturbation studies. However, variations in format, naming conventions, and data filtering frequently make it difficult to analyze data across varied databases. In order to aid in the advancement and evaluation of computational techniques in systems biology, 44 datasets featuring molecular…

Read More Unlocking Cellular Mysteries with scPerturb: A Deep Dive into Harmonized Single-cell Perturbation Data
Big Data | Bioinformatics | News | NGS | Paper Summary | RNA-Seq | Sequencing | Tools | Trending

Matching RNA Sequencing Alignment Data to Genotypes Made Easy with RNA Strain-Match
ByNeegar Naushaba Iqbal July 20, 2023July 20, 2023

Researchers from the Jackson Laboratory for Mammalian Genetics, USA, have built RNA Strain-Match, a quality control tool helpful in matching RNA data to their corresponding genotypes. A significant possibility exists that some samples will be switched or mislabeled during large-scale next-generation sequencing (NGS). Therefore, it is beneficial to have tools or techniques present within the…

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Bioinformatics | Cancer Research | Featured | Health | News | RNA-Seq | Transcriptomics | Trending

Scientists Identify New Factors that Can Predict Breast Cancer Recurrence
ByDr. Tamanna Anwar April 23, 2022June 18, 2022

Scientists at Georgetown Lombardi Comprehensive Cancer Center have uncovered genetics and other characteristics that can predict if a woman is at risk of breast cancer recurrence, opening up new research possibilities for preventing a new tumor from growing. The discovery was made possible by Georgetown Lombardi’s sophisticated technology, which allows laboratory researchers to expand dramatically…

Read More Scientists Identify New Factors that Can Predict Breast Cancer Recurrence
Bioinformatics | News | NGS | RNA-Seq | Sequencing | Transcriptomics | Trending

Single Cell RNA Sequencing Determines 16 Distinct Cell Populations in a Key Brain Area for Substance Use Disorders
ByDr. Tamanna Anwar April 21, 2022November 25, 2023

The University of Alabama in Birmingham researchers have found 16 unique cell populations in a complex part of the midbrain known as the ventral tegmental area, or VTA, using single-cell RNA sequencing in a study that advances the field. Expanding our understanding of the VTA’s function will help us better understand the mechanisms behind substance…

Read More Single Cell RNA Sequencing Determines 16 Distinct Cell Populations in a Key Brain Area for Substance Use Disorders
Bioinformatics | Gene Expression | Machine Learning | News | RNA-Seq | Trending

Pregnancy Health and Preeclampsia Prediction Using RNA Sequencing from a Single Blood Sample
ByDr. Tamanna Anwar January 11, 2022June 18, 2022

Using cell-free RNA (cfRNA), researchers discovered gene expression patterns linked to a healthy pregnancy. Conception to birth is a fast-paced period of growth and development that necessitates significant changes in maternal physiology that are currently unknown. Due to ethical limitations, research into human pregnancy is limited, and existing animal models are of little utility. Pre-eclampsia…

Read More Pregnancy Health and Preeclampsia Prediction Using RNA Sequencing from a Single Blood Sample

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RNA sequencing

DRUG-seq: A Game-Changing Approach to Transcriptional Profiling in Drug Discovery

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